Journal ArticleDOI
Graph visualization and navigation in information visualization: A survey
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TLDR
This is a survey on graph visualization and navigation techniques, as used in information visualization, which approaches the results of traditional graph drawing from a different perspective.Citations
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Book ChapterDOI
Visualizing user communities and usage trends of digital libraries based on user tracking information
TL;DR: The distinctive approach of this research is that it focuses on analysis and visualization of users' implicit rating data, which was generated based on user tracking information, such as sending queries and browsing result sets – rather than focusing on explicit data obtained from a user survey.
Proceedings ArticleDOI
A Comparative Analysis of Large-scale Network Visualization Tools
TL;DR: This paper identifies several popular network visualization tools and provides a comparative analysis based on the features and operations these tools support and demonstrates empirically how those tools scale to large networks.
Dissertation
Social Relationship Management in Internet-based Communication and Shared Information Spaces
TL;DR: A formal model of social relationships based on semantic web technologies is introduced, fostering interoperability, independence from proprietary applications, extensibility, and integration of privacy protection.
Proceedings ArticleDOI
Signed Graph Neural Network with Latent Groups
TL;DR: Group Signed Graph Neural Network (GS-GNN) as mentioned in this paper proposes a dual GNN architecture that consists of the global and the local modules, where the global module adopts a more generalized assumption that nodes can be divided into multiple latent groups and that the groups can have arbitrary relations.
Journal ArticleDOI
The application of agglomerative hierarchical spatial clustering algorithm in tea blending
TL;DR: This study enable tea blending to get rid of human experience, instead of intelligent approach and present an agglomerative hierarchical spatial clustering based algorithm to work out the optimal blending program.
References
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Book
Cluster Analysis
TL;DR: This fourth edition of the highly successful Cluster Analysis represents a thorough revision of the third edition and covers new and developing areas such as classification likelihood and neural networks for clustering.
Journal ArticleDOI
Graph drawing by force-directed placement
TL;DR: A modification of the spring‐embedder model of Eades for drawing undirected graphs with straight edges is presented, developed in analogy to forces in natural systems, for a simple, elegant, conceptually‐intuitive, and efficient algorithm.
Book
Information Visualization: Perception for Design
TL;DR: The art and science of why the authors see objects the way they do are explored, and the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness.
Journal ArticleDOI
An algorithm for drawing general undirected graphs
Tomihisa Kamada,Satoru Kawai +1 more
Journal ArticleDOI
Generalized fisheye views
TL;DR: This paper explores fisheye views presenting, in turn, naturalistic studies, a general formalism, a specific instantiation, a resulting computer program, example displays and an evaluation.